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Advances in Pattern Recognition
  • Language: en
  • Pages: 918

Advances in Pattern Recognition

This book constitutes the joint refereed proceedings of the 8th International Workshop on Structural and Syntactic Pattern Recognition and the 3rd International Workshop on Statistical Techniques in Pattern Recognition, SSPR 2000 and SPR 2000, held in Alicante, Spain in August/September 2000. The 52 revised full papers presented together with five invited papers and 35 posters were carefully reviewed and selected from a total of 130 submissions. The book offers topical sections on hybrid and combined methods, document image analysis, grammar and language methods, structural matching, graph-based methods, shape analysis, clustering and density estimation, object recognition, general methodology, and feature extraction and selection.

Emergent Neural Computational Architectures Based on Neuroscience
  • Language: en
  • Pages: 587

Emergent Neural Computational Architectures Based on Neuroscience

  • Type: Book
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  • Published: 2003-05-15
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  • Publisher: Springer

It is generally understood that the present approachs to computing do not have the performance, flexibility, and reliability of biological information processing systems. Although there is a comprehensive body of knowledge regarding how information processing occurs in the brain and central nervous system this has had little impact on mainstream computing so far. This book presents a broad spectrum of current research into biologically inspired computational systems and thus contributes towards developing new computational approaches based on neuroscience. The 39 revised full papers by leading researchers were carefully selected and reviewed for inclusion in this anthology. Besides an introductory overview by the volume editors, the book offers topical parts on modular organization and robustness, timing and synchronization, and learning and memory storage.

Grammatical Inference: Algorithms and Applications
  • Language: en
  • Pages: 321

Grammatical Inference: Algorithms and Applications

This book constitutes the refereed proceedings of the 5th International Colloquium on Grammatical Inference, ICGI 2000, held in Lisbon, Portugal in September 2000. The 24 revised full papers presented were carefully reviewed and selected from 35 submissions. The papers address topics like machine learning, automata, theoretical computer science, computational linguistics, pattern recognition, artificial neural networks, natural language acquisition, computational biology, information retrieval, text processing, and adaptive intelligent agents.

Research and Advanced Technology for Digital Libraries
  • Language: en
  • Pages: 586

Research and Advanced Technology for Digital Libraries

This book constitutes the refereed proceedings of the 10th European Conference on Research and Advanced Technology for Digital Libraries, ECDL 2006, held in Alicante, Spain in September 2006. The 36 revised full papers presented together with the extended abstracts of 18 demo papers and 15 revised poster papers were carefully reviewed and selected from a total of 159 submissions. The papers are organized in topical sections on architectures, preservation, retrieval, applications, methodology, metadata, evaluation, user studies, modeling, audiovisual content, and language technologies.

Topics in Grammatical Inference
  • Language: en
  • Pages: 258

Topics in Grammatical Inference

  • Type: Book
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  • Published: 2016-05-04
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  • Publisher: Springer

This book explains advanced theoretical and application-related issues in grammatical inference, a research area inside the inductive inference paradigm for machine learning. The first three chapters of the book deal with issues regarding theoretical learning frameworks; the next four chapters focus on the main classes of formal languages according to Chomsky's hierarchy, in particular regular and context-free languages; and the final chapter addresses the processing of biosequences. The topics chosen are of foundational interest with relatively mature and established results, algorithms and conclusions. The book will be of value to researchers and graduate students in areas such as theoretical computer science, machine learning, computational linguistics, bioinformatics, and cognitive psychology who are engaged with the study of learning, especially of the structure underlying the concept to be learned. Some knowledge of mathematics and theoretical computer science, including formal language theory, automata theory, formal grammars, and algorithmics, is a prerequisite for reading this book.

Twelfth Conference on Innovative Applications of Artificial Intelligence
  • Language: en
  • Pages: 1230

Twelfth Conference on Innovative Applications of Artificial Intelligence

  • Type: Book
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  • Published: 2000
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  • Publisher: Unknown

AAAI proceedings describe innovative concepts, techniques, perspectives, and observations that present promising research directions in artificial intelligence. The annual AAAI National Conference provides a forum for information exchange and interaction among researchers from all disciplines of AI. Contributions include theoretical, experimental, and empirical results. Topics cover principles of cognition, perception, and action; the design, application, and evaluation of AI algorithms and systems; architectures and frameworks for classes of AI systems; and analyses of tasks and domains in which intelligent systems perform. Distributed for AAAI Press.

Evolving Stochastic Grammars
  • Language: en
  • Pages: 558

Evolving Stochastic Grammars

  • Type: Book
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  • Published: 1998
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  • Publisher: Unknown

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A Field Guide to Dynamical Recurrent Networks
  • Language: en
  • Pages: 464

A Field Guide to Dynamical Recurrent Networks

Electrical Engineering A Field Guide to Dynamical Recurrent Networks Acquire the tools for understanding new architectures and algorithms of dynamical recurrent networks (DRNs) from this valuable field guide, which documents recent forays into artificial intelligence, control theory, and connectionism. This unbiased introduction to DRNs and their application to time-series problems (such as classification and prediction) provides a comprehensive overview of the recent explosion of leading research in this prolific field. A Field Guide to Dynamical Recurrent Networks emphasizes the issues driving the development of this class of network structures. It provides a solid foundation in DRN system...

IEEE ... International Conference on Neural Networks
  • Language: en
  • Pages: 608

IEEE ... International Conference on Neural Networks

  • Type: Book
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  • Published: 1997
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  • Publisher: Unknown

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